Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Benoit Larras"'
Publikováno v:
IEEE Access, Vol 12, Pp 25188-25199 (2024)
Electrocardiogram (ECG) data’s high dimensionality challenges real-time arrhythmia classification. Our approach employs functional approximation to condense ECG recordings into a compact feature set for simpler classification using Chebyshev polyno
Externí odkaz:
https://doaj.org/article/77708a6d4f094f3e981ee1090e21b212
Autor:
Margus Metshein, Anar Abdullayev, Antoine Gautier, Benoit Larras, Antoine Frappe, Barry Cardiff, Paul Annus, Raul Land, Olev Märtens
Publikováno v:
Sensors, Vol 23, Iss 16, p 7111 (2023)
Background: Cardiovascular diseases (CVDs), being the culprit for one-third of deaths globally, constitute a challenge for biomedical instrumentation development, especially for early disease detection. Pulsating arterial blood flow, providing access
Externí odkaz:
https://doaj.org/article/3bec0d8f2fa14e438e0309814fe2d829
Publikováno v:
2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Oct 2022, Glasgow, United Kingdom. pp.1-4, ⟨10.1109/ICECS202256217.2022.9970790⟩
2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Oct 2022, Glasgow, United Kingdom. pp.1-4, ⟨10.1109/ICECS202256217.2022.9970790⟩
International audience; In this paper, we propose Multi-Scale Group Convolution (MSGC) an optimization to the conventional convolutional layer, to address the high computational complexity issue in deploying convolutional neural networks (CNN) on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dfe655d304ae574ac68024dfdc3ec67
https://doi.org/10.1109/icecs202256217.2022.9970790
https://doi.org/10.1109/icecs202256217.2022.9970790
Publikováno v:
2022 IEEE Biomedical Circuits and Systems Conference, BioCAS
2022 IEEE Biomedical Circuits and Systems Conference, BioCAS, Oct 2022, Taipei, Taiwan. pp.595-599, ⟨10.1109/biocas54905.2022.9948612⟩
2022 IEEE Biomedical Circuits and Systems Conference, BioCAS, Oct 2022, Taipei, Taiwan. pp.595-599, ⟨10.1109/biocas54905.2022.9948612⟩
Level-crossing ADCs reduce the size of data streams in wearable devices. However, in the context of electrocardiogram (ECG) signals, such an event-driven data source results in a variable length two-dimensional (time-amplitude tuples) data vector for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f4b822ee445846de44c1234f6fa8eb2
https://doi.org/10.1109/biocas54905.2022.9948612
https://doi.org/10.1109/biocas54905.2022.9948612
Publikováno v:
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
2022 IEEE International Symposium on Circuits and Systems (ISCAS), May 2022, Austin, TX, United States. pp.414-418, ⟨10.1109/ISCAS48785.2022.9937853⟩
2022 IEEE International Symposium on Circuits and Systems (ISCAS), May 2022, Austin, TX, United States. pp.414-418, ⟨10.1109/ISCAS48785.2022.9937853⟩
International audience; Cardiovascular diseases can be detected early by analyzing the electrocardiogram of a patient using wearable systems. In the context of smart sensors, detecting arrhythmias with good accuracy and ultra-low power consumption is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82ffd4794adcbcdfa9b1ddc869c4023e
https://hal.science/hal-03701059
https://hal.science/hal-03701059
Publikováno v:
28th IEEE International Conference on Electronics Circuits and Systems, ICECS 2021
28th IEEE International Conference on Electronics Circuits and Systems, ICECS 2021, Nov 2021, Dubai, United Arab Emirates. ⟨10.1109/ICECS53924.2021.9665486⟩
28th IEEE International Conference on Electronics Circuits and Systems, ICECS 2021, Nov 2021, Dubai, United Arab Emirates. ⟨10.1109/ICECS53924.2021.9665486⟩
International audience; Long Short-Term Memory (LSTM) neural networks offer state-of-the-art results to compute sequential data and address applications like keyword spotting. Mel Frequency Cepstral Coefficients (MFCC) are the most common features us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d1fc1e5e910d7907f80c28cf55dd3c3
https://hal.science/hal-03515704
https://hal.science/hal-03515704
Autor:
Margus Metshein, Antoine Gautier, Benoit Larras, Antoine Frappe, Deepu John, Barry Cardiff, Paul Annus, Raul Land, Olev Martens
Publikováno v:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Nov 2021, Mexico, Mexico. ⟨10.1109/EMBC46164.2021.9629504⟩
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Nov 2021, Mexico, Mexico. ⟨10.1109/EMBC46164.2021.9629504⟩
International audience; ICG (impedance cardiography) and ECG (electrocardiography) provide important indications about functioning of the heart and of overall cardiovascular system. Measuring ICG along with ECG using wearable devices will improve the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::561fe74a32ec302e6b6938c95e4a4885
https://hal.archives-ouvertes.fr/hal-03482302/file/EMBC_Margus_CameraReady.pdf
https://hal.archives-ouvertes.fr/hal-03482302/file/EMBC_Margus_CameraReady.pdf
Publikováno v:
2021 IEEE Biomedical Circuits and Systems Conference (BioCAS)
2021 IEEE Biomedical Circuits and Systems Conference (BioCAS), Oct 2021, Berlin, Germany. pp.01-04, ⟨10.1109/BioCAS49922.2021.9644957⟩
2021 IEEE Biomedical Circuits and Systems Conference (BioCAS), Oct 2021, Berlin, Germany. pp.01-04, ⟨10.1109/BioCAS49922.2021.9644957⟩
International audience; To detect cardiovascular diseases (CVD), electrocardiogram (ECG) of a patient must be recorded and analyzed for a long period. For an effective diagnosis, the ECG recording system must automatically adapt to new patients. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59e88cd27bd11bc1b16b4ad499ab7232
https://doi.org/10.1109/biocas49922.2021.9644957
https://doi.org/10.1109/biocas49922.2021.9644957
Publikováno v:
34th IEEE International System-On-Chip Conference
34th IEEE International System-On-Chip Conference, Sep 2021, Las Vegas, NV, United States
34th IEEE International System-On-Chip Conference, Socc 2021
34th IEEE International System-On-Chip Conference, Socc 2021, Sep 2021, Las Vegas, NV, United States. ⟨10.1109/SOCC52499.2021.9739386⟩
34th IEEE International System-On-Chip Conference, Sep 2021, Las Vegas, NV, United States
34th IEEE International System-On-Chip Conference, Socc 2021
34th IEEE International System-On-Chip Conference, Socc 2021, Sep 2021, Las Vegas, NV, United States. ⟨10.1109/SOCC52499.2021.9739386⟩
International audience; This paper describes the study of an integrated system for the detection of the B-C-X characteristic points of impedance cardiography (ICG) signals, to evaluate the stroke volume of a patient. It compares a discrete-time digit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f100e984336b3b1e9edad3638340f3ef
https://hal.archives-ouvertes.fr/hal-03482323
https://hal.archives-ouvertes.fr/hal-03482323
Autor:
Antoine Frappe, Benoit Larras
Publikováno v:
ESSCIRC
ESSCIRC 2021-IEEE 47th European Solid State Circuits Conference (ESSCIRC)
ESSCIRC 2021-IEEE 47th European Solid State Circuits Conference (ESSCIRC), Sep 2021, Grenoble, France. pp.111-114, ⟨10.1109/ESSCIRC53450.2021.9567808⟩
ESSCIRC 2021-IEEE 47th European Solid State Circuits Conference (ESSCIRC)
ESSCIRC 2021-IEEE 47th European Solid State Circuits Conference (ESSCIRC), Sep 2021, Grenoble, France. pp.111-114, ⟨10.1109/ESSCIRC53450.2021.9567808⟩
International audience; Distributed smart sensors are more and more used in applications such as biomedical or domestic monitoring. However, each sensor broadcasts data wirelessly to the others or to an aggregator, which leads to energy-hungry sensor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::add8bdaf4493af4d870c92946da2c67d
https://doi.org/10.1109/esscirc53450.2021.9567808
https://doi.org/10.1109/esscirc53450.2021.9567808